{"id":"W2100941053","doi":"10.5539/ijef.v4n10p170","title":"Adjusting the Currency Composition of China’s Foreign Exchange Reserve","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; Fundamental Research Funds for the Central Universities; Ministry of Education, India; Northeast Normal University","keywords":"Foreign-exchange reserves; Foreign exchange risk; Reserve currency; Currency; Special drawing rights; Business; Foreign exchange swap; Treasury; Monetary economics; Liberian dollar; Debt; Financial system; Economics; International economics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008852459,0.0002882077,0.000297886,0.0006668697,0.0003186851,0.001261316,0.0003384475,0.0002825891,0.0006434734],"category_scores_gemma":[0.002064796,0.0001864135,0.0002057067,0.0004418818,0.0003741792,0.001088236,0.0004682397,0.0002948629,0.00007412924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008200876,"about_ca_system_score_gemma":0.0007948743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827586,"about_ca_topic_score_gemma":0.002487545,"domain_scores_codex":[0.9996495,0.00008330205,0.00002767069,0.00008862232,0.00008577569,0.0000651403],"domain_scores_gemma":[0.9997794,0.00003299167,0.00006522448,0.00002365656,0.00007448571,0.00002433187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007270895,0.0001000556,0.2164742,0.0001605474,0.0001938053,0.001247073,0.0006982253,0.5350785,0.02975294,0.1036534,0.002656131,0.1092581],"study_design_scores_gemma":[0.0001923453,0.0001831308,0.1692994,0.00005588297,0.0001288142,0.0003779553,0.0008395083,0.7629228,0.01568818,0.04384034,0.006372956,0.0000987329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828198,0.0002416142,0.01201619,0.0002703441,0.00002937591,0.0000248122,0.00008673254,0.00003431469,0.004476841],"genre_scores_gemma":[0.9982551,0.00007220884,0.001261215,0.000009967513,0.000005706545,0.000006160157,0.00004103723,0.000005232157,0.0003434349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004827586,"threshold_uncertainty_score":0.00959897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991043500622585,"score_gpt":0.2557439047430366,"score_spread":0.2158334697368108,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}